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The Effects of Hand Strength on Pointing Performance

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Designing Inclusive Interactions

Abstract

Pointing tasks form a significant part of human-computer interaction in graphical user interfaces. Fitts’ law (Fitts, 1954) and its variations (Mackenzie, 2003) are widely used to model pointing as a sequence of rapid aiming movements, especially for able-bodied users. Fitts’ Law predicts the movement time as a function of the width and distance to the target. This law is found to be very robust and works in many different situations (even in space and under water). However the application of Fitts’ Law for people with motor impairment is less clear. We have investigated also how the pointing performance of people with motor impairment varies from their able-bodied counterparts. In particular, we have studied how physical strength affects the pointing performance of people with and without motor impairment for different input devices. We have used this study to develop a simulator to help with the design and evaluation of assistive interfaces (Biswas and Robinson, 2008b). The simulator embodies both the internal state of a computer application and also the perceptual, cognitive and motor processes of its user. It takes a task definition and locations of different objects in an interface as input. It then predicts possible eye movements and cursor paths on the screen and uses these to predict task completion times. We hope this study will be helpful to understand and analyse the interaction patterns of people with motor impairment and design better assistive interfaces for them. It will also help in explaining motor action and developing better motor-behaviour models for motor impaired users.

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References

  • Biswas P, Robinson P (2008a) A new screen scanning system based on clustering screen objects. Journal of Assistive Technologies, 2(3): 24–31

    Google Scholar 

  • Biswas P, Robinson P (2008b) Automatic evaluation of assistive interfaces. In: Proceedings of International Conference on Intelligent User Interfaces (IUI’08), Canary Islands, Spain

    Google Scholar 

  • Fitts PM (1954) The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 47: 381–391

    Article  Google Scholar 

  • Flowers KA (1976) Visual ‘closed-loop’ and ‘open-loop’ characteristics of voluntary movement in patients with parkinsonism and intention tremor. Brain, 99: 269–310

    Article  Google Scholar 

  • ISO (2000) Ergonomic requirements for office work with visual display terminals (VDTs): requirements for non-keyboard input devices. ISO 9241-9:2000. International Organization for Standardization, Geneva, Switzerland

    Google Scholar 

  • Kaplan RJ (2006) Physical medicine and rehabilitation review, 2nd edn. MacGraw Hill

    Google Scholar 

  • Mackenzie IS (2003) Motor behaviour models for human-computer interaction. In: Carroll JM (ed.) HCI models, theories, and frameworks: toward a multidisciplinary science. Morgan Kaufmann, San Francisco, CA, US

    Google Scholar 

  • Mathiowetz V, Weber K, Volland G, Kashman N (1984) Reliability and validity of hand strength evaluation. Journal of Hand Surgery, 9: 18–26

    Google Scholar 

  • Rosenbaum DA (1991) Human motor control. Academic Press Inc., US

    Google Scholar 

  • Smits-Engelsman BCM, Rameckers EAA, Duysens J (2007) Children with congential spastic hemiplegia obey Fitts’ Law in a visually guided tapping task. Journal of Experimental Brain Research, 177(4): 431–439

    Article  Google Scholar 

  • The Super-Switch (2007) Available at: http://rjcooper.com/super-switch/index.html (Accessed on 19 November 2009)

    Google Scholar 

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Biswas, P., Robinson, P. (2010). The Effects of Hand Strength on Pointing Performance. In: Langdon, P., Clarkson, P., Robinson, P. (eds) Designing Inclusive Interactions. Springer, London. https://doi.org/10.1007/978-1-84996-166-0_1

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  • DOI: https://doi.org/10.1007/978-1-84996-166-0_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-165-3

  • Online ISBN: 978-1-84996-166-0

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